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Selection of higher values for Degree of Hybridization (DOH) increases the fuel economy and reduces the emissions in the Hybrid Electric Vehicles (HEVs). Previously presented methodologies for deciding about the number of battery modules (as an important factor influencing the vehicle performance), presents poor vehicle performance for higher DOHs. In this paper, a new technique has been proposed for deciding about the number of battery modules in Hybrid Electric Vehicles (HEVs), by which the high performance of the vehicle is guaranteed for higher DOHs. The proposed methodology is based on satisfying two key designing factors: Maximum charge and discharge capability and satisfaction of the PNGV criteria. The proposed methodology, allows us to choose higher DOHs in HEVs, which leads to lower emissions and higher levels of fuel economy. To evaluate efficiency of proposed methodology, it has been applied on model of a test parallel passenger hybrid car available in the ADvanced VehIcle SimulatOR (ADVISOR) software. The obtained results have been compared with that of formerly presented techniques. Simulation results confirm the effectiveness of proposed methodology., Povećanje stupnja hibridizacije (DOH) ima za posljedicu smanjenje potrošnje goriva te emisije štetnih plinova kod hibridnih električnih vozila (HEV). Postojeći pristupi za odabir broja baterijskih modula (kao važan faktor koji utječe na performanse vozila) kod većeg stupnja DOH-a rezultiraju lošim performansama vozila. U ovom radu, predložen je novi pristup odabira broja baterijskih modula HEV-a, koji garantira visoke performanse HEV-a i za visok stupanj DOH-a. Predloženi pristup temeljen je na zadovoljavanju dva ključna zahtjeva: maksimalna sposobnost punjenja i pražnjenja te PNGV kriterij. Predložen pristup omogućuje odabir visokog stupnja DOH-a u hibridnim električnim vozilima. Pristup je validiran korištenjem modela hibridnog automobila dostupnog u ADvanced VehIcle SimulatoOR programu. Dobiveni rezultati uspoređeni su s rezultatima trenutno korištenih pritupa odabira broja baterijskih modula te je potvrđena učinkovitost predloženog pristupa.

In this paper, a simple but efficient Non-dominated Sorting Genetic Algorithm (NSGA) II based technique is proposed for optimizing the Degree of Hybridization (DOH) in parallel passenger hybrid cars. The authors' objective is to improve performance, maximize fuel economy and at the same time, minimize mass and emissions as much as possible, by optimal selection of DOH. The NSGA-II, which is a multi-objective optimization algorithm, is applied to optimize this multiple objective problem. The ADvanced VehIcle SimulatOR (ADVISOR) software is used as simulation tool. To validate high efficiency of proposed methodology, necessary simulations have been carried out on a small-size test car. The results indicates that the proposed methodology is very fast and efficient and can be well applied to any other types of Hybrid Electric Vehicles (HEVs)., U radu je predložena jednostavna i efikasna metoda zasnovana na nedominirano-sortirajućem genetičkom algoritmu (NSGA) II u svrhu optimiranja stupnja hibridizacije (DOH) u paralelnim putničkim hibridnim automobilima. Cilj je unaprijediti performanse, maksimizirati ekonomičnost goriva te istovremeno minimizirati emisiju koliko god je moguće uz optimalni odabir DOH. NSGA-II algoritam, koji spada u višekriterijske optimizacijske algoritme, korišten je za optimiranje problema s više ciljeva. Napredni simulator vozila (ADVISOR softver) korišten je kao simulacijski alat. Simulacije su provedene na umanjenom testnom vozilu kako bi se validirala visoka efikasnost predložene metodologije. Rezultati ukazuju da je predložena metoda vrlo brza i efikasna te ju je moguće primijeniti i na bilo koji drugi tip hibridnog električnog vozila (HEV).